Weiyang Yang

ORCID: 0000-0003-2502-3359
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About
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Research Areas
  • Numerical methods in engineering
  • Fatigue and fracture mechanics
  • Elasticity and Wave Propagation
  • Neuroscience and Neural Engineering
  • Geotechnical Engineering and Underground Structures
  • Advanced Memory and Neural Computing
  • Contact Mechanics and Variational Inequalities
  • Electrochemical sensors and biosensors
  • Mechanical Behavior of Composites
  • Ultrasonics and Acoustic Wave Propagation
  • Vibration and Dynamic Analysis
  • Microbial Fuel Cells and Bioremediation
  • Conducting polymers and applications
  • Metal Forming Simulation Techniques
  • Analytical Chemistry and Sensors
  • Electrochemical Analysis and Applications
  • Soil, Finite Element Methods
  • Material Properties and Failure Mechanisms
  • Photoreceptor and optogenetics research
  • Tissue Engineering and Regenerative Medicine
  • Congenital heart defects research
  • Cancer Genomics and Diagnostics
  • Engineering Structural Analysis Methods
  • Long-Term Effects of COVID-19
  • Tannin, Tannase and Anticancer Activities

Tsinghua University
2022-2025

Michigan State University
2017-2022

Taiyuan University of Science and Technology
2005-2016

Binghamton University
2015-2016

People's Liberation Army No. 150 Hospital
2014

Taiyuan Heavy Industry (China)
1990-2004

Abstract Congenital heart defects constitute the most common human birth defect, however understanding of how these disorders originate is limited by our ability to model accurately in vitro. Here we report a method generate developmentally relevant organoids self-assembly using pluripotent stem cells. Our procedure fully defined, efficient, reproducible, and compatible with high-content approaches. Organoids are generated through three-step Wnt signaling modulation strategy chemical...

10.1038/s41467-021-25329-5 article EN cc-by Nature Communications 2021-08-26

Abstract Tumor-derived circulating cell-free DNA (cfDNA) provides critical clues for cancer early diagnosis, yet it often suffers from low sensitivity. Here, we present a diagnosis approach using tumor fractions deciphered cfDNA methylation signatures. We show that the estimated of tumor-derived patients increase significantly as progresses in two independent datasets. Employing predicted fractions, establish Bayesian diagnostic model which training samples are only derived late-stage and...

10.1038/s41467-022-35320-3 article EN cc-by Nature Communications 2022-12-13

Ultra-flexible, highly-conductive and fully-transparent μECoG electrode arrays made of PEDOT:PSS–ITO–Ag–ITO on thin parylene C successfully achieved neurophysiology recording.

10.1039/d0lc01123a article EN Lab on a Chip 2021-01-01

Lactate metabolism (LM) plays a crucial role in tumor progression and therapy resistance non-small cell lung cancer (NSCLC). Several methods had been developed for NSCLC prognosis prediction based on lactate metabolism-related information. The existing the construction of models are mostly single such as linear models, SVM, decision trees. Prognosis biomarkers this kind often have limited prognostic performance. In study, we proposed novel methodology constructing model identifying...

10.1038/s41598-025-85620-z article EN cc-by-nc-nd Scientific Reports 2025-02-17

10.1016/j.snb.2016.11.155 article EN Sensors and Actuators B Chemical 2016-11-30

This paper reports on electrochemical and optical characteristics of flexible, transparent microelectrodes, which consist thin poly-(3, 4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS) spun onto indium-tin-oxide (ITO) electrodes for potential applications in biomedical optoelectronic devices. Although PEDOT:PSS/ITO combined films have been extensively investigated devices, such as solar cells LEDs, use electrophysiological recording not well-characterized yet. In this work,...

10.1109/tnano.2017.2785627 article EN IEEE Transactions on Nanotechnology 2017-12-20

In this paper, we demonstrated a miniaturized bacteria-based biosensing platform for sensitive, reliable, and practical online monitoring of water quality. Two biosensors were integrated into dual-channel microfluidic device which operated as detection reference sensor, respectively. By providing reference-compensated sensing response, the was capable minimizing environmental interferences, such temperature flow rate, ultimately leading to high sensitivity reliability in quality monitoring....

10.1109/jsen.2016.2570423 article EN IEEE Sensors Journal 2016-05-18

Abstract Congenital heart defects (CHD) constitute the most common birth defect in humans, affecting approximately 1% of all live births. Our ability to understand how these disorders originate is hindered by our limited model complexity human vitro. There a pressing need develop more faithful organ-like platforms recapitulating complex vivo phenotypes study development and disease Here we report novel method generate organoids self-assembly using pluripotent stem cells. fully defined,...

10.21203/rs.3.rs-132349/v1 preprint EN cc-by Research Square (Research Square) 2020-12-31

Droplet microfluidics is a highly sensitive and high-throughput technology extensively utilized in biomedical applications, such as single-cell sequencing cell screening. However, its performance influenced by the droplet size encapsulation rate (following random distribution), thereby creating an urgent need for quality control. Machine learning has potential to revolutionize microfluidics, but it requires tedious pixel-level annotation network training. This paper investigates application...

10.1039/d4an00022f article EN cc-by-nc The Analyst 2024-01-01

We created a dual-channel bacteria-based biosensor for sensitive and reliable monitoring of toxic substances in water. utilized microbial fuel cell (MFC) technology as the detection water toxicity. A broad range components can inhibit bacterial metabolic activity, generating distinct change current output MFC-based biosensor. The consisted two 90μL single-chambered MFCs (detection reference) with air-cathodes, which significantly simplifies device configuration. reference channel sensor was...

10.1109/icsens.2015.7370674 article EN IEEE Sensors 2015-11-01

Antibodies play a crucial role in disease treatment, leveraging their ability to selectively interact with the specific antigen. However, screening antibody gene sequences for target antigens via biological experiments is extremely time-consuming and labor-intensive. Several computational methods have been developed predict antibody-antigen interaction while suffering from lack of characterizing underlying structure antibody. Beneficial recent breakthroughs deep learning prediction, we...

10.1186/s12859-024-05961-w article EN cc-by-nc-nd BMC Bioinformatics 2024-11-06

Integrative neural interfaces combine neurophysiology and optogenetics with imaging, providing numerous opportunities for neuroscientists to study the structure, function, diseases in circuits. Such a comprehensive interface demands miniature electrode arrays that are highly transparent, mechanically flexible, biocompatible. Compared implanted electrodes, microscale electrocorticogram (μECoG) less invasive, therefore lowering risk of infection, seizure, stroke. Common transparent μECoG made...

10.1109/nems50311.2020.9265573 article EN 2020-09-27
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